Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...

Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More We’re in the midst of a data revolution. The volume of digital data ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Unstructured data comprises 80% of total data volume for legal organizations, which means that on average, only one-fifth of the entirety of the data set is properly secured and actively managed.

Big Data includes tons of unstructured content, from PDFs to video files. Manufacturers now have to pay more attention to the unstructured content in order to get their arms about Big Data. While much ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise AI is only as good as the data that is available to a model.